acknowledged. Computing the Sentiment Polarity of Chinese Words and Sentences

By Yejun Wu and Douglas W. OardYejun Wu and Douglas W. Oard

Abstract

This paper reports on experiments with a newly available sentiment classification test collection for Chinese. Detection of negation during training and classification is shown to improve the accuracy of character-based classification for the semantic orientation of individual Chinese words. Using the resulting classifier for unknown words resulted in substantial improvements in classification accuracy for positively and negatively opinionated sentences